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Senior Data Engineer

The Senior Data Engineer is responsible for designing, building, and maintaining operational and analytical capabilities within data platforms. This role includes solution design, data analysis, production rollout, and production support activities using Java Spring Batch, Python, AWS, Oracle, and Snowflake. The position focuses on maintaining and improving a large data ecosystem that supports compensation, sales, and reporting users.

Education and Experience

• Bachelor's or Master's degree in a technology-related field (e.g., Engineering, Computer Science) with 6-8 years of experience.
• 4-6 years of Java development experience using Spring frameworks; experience writing batch jobs with Spring Batch is highly desirable.
• 3+ years of experience developing applications in AWS, with emphasis on AWS Batch, S3, and IAM.
• 4+ years of experience working with SQL (ANSI SQL, Oracle, Snowflake).
• 3+ years of Python development experience.
• Experience with Unix shell scripting (bash, ksh) and scheduling/orchestration tools (Control-M).
• Strong data modeling skills with experience in 3NF and Star Schema models.
• Proven data analysis skills and ability to work in a complex data ecosystem.
• Hands-on experience with SQL query optimization and tuning for performance.
• Experience with DevOps, Continuous Integration, and Continuous Delivery (Jenkins, Terraform, CloudFormation).
• Experience in Agile methodologies (Kanban and SCRUM).
• Experience building and deploying containerized applications using Docker.
• Financial services industry experience is a plus.
• Ability to work independently or collaboratively in a fast-paced environment.
• Strong interpersonal skills for working with multiple teams across the organization.
• Experience creating solution architecture diagrams and design documents.

• Understanding of the software development process, including analysis, design, coding, testing, problem resolution, and planning.
• Strong analytical and decision-making skills for handling ambiguous situations.
• Effective interpersonal and client-handling skills with the ability to explain technical details.
• Ability to multitask, prioritize, and adapt in a constantly evolving environment.
• Skilled in presenting to various audiences, including peers and senior management.
• Ability to navigate organizational structures and work on multiple efforts simultaneously.
• Excellent conflict management and negotiation skills; commitment to continuous learning.
• High level of dedication, initiative, and professionalism in meeting deadlines.
• Ability to handle production issues with accuracy and attention to detail.
• Design robust batch and streaming programs following standards and best practices.
• Enjoy analyzing data, identifying gaps, issues, patterns, and trends, and assessing application dependencies.

Must Haves

• Strong SQL for querying and data validation.
• Oracle.
• AWS.
• ETL experience using Java Spring Batch for data transformation.
• Note: ETL work is done in Java; Python is only a nice-to-have.

Nice to Haves

• Python.
• Snowflake.
• Financial domain experience.

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